Points on a Map

Points on a Map

This example displays a world map with city points overlaid, using a Natural Earth projection via d3.geoNaturalEarth1 and d3.geoPath. The map includes land boundaries, graticules, and interiors rendered as SVG paths from World Atlas TopoJSON data. City locations, loaded from a CSV with d3.csv, are plotted as semi-transparent circles. The visualization is built with React and D3 v5, demonstrating a clean, styled cartographic composition with an equirectangular-like aesthetic.

Ppnlinyz

Points on a Map

A world map rendered with SVG marks shows the globe in muted grays with graticule lines and country borders, overlaid with translucent teal circles sized by city population. The visualization uses a React component with d3’s geoNaturalEarth1 projection and geoPath to draw land and interiors from a TopoJSON world atlas, while city coordinates from a CSV are projected and drawn as circles with a square-root scale mapped to population. The data comes from the Data Canvas Sense Your City Dataset.

AAndrea Picciau

Points on a Map

This example displays a world map with points marking cities, rendered as an SVG using D3’s geoNaturalEarth1 projection and geoPath. The map shows landmasses, graticules, and country borders from the world-atlas TopoJSON, while city locations from a CSV file are plotted as semi-transparent circles. React manages the component state, fetching the data with useWorldAtlas and useCities hooks, and the d3.geoPath calculates the projected coordinates for each circle.

Rrstrauss127

Points on a Map

A world map rendered with a natural Earth projection displays city locations as circular points, using teal landmasses with graticules and gray interior borders. The visualization loads geographic data from a TopoJSON world-atlas file and city coordinates from a CSV dataset, processing both through React hooks. D3’s `geoPath` and `geoNaturalEarth1` project the map, while the points are positioned by projecting each city’s longitude and latitude. SVG circles with a radius of four pixels mark each city, and axes are absent, keeping the focus on spatial distribution.

OOlof Ollerstam

Points on a Map

A world map displays country boundaries and graticules over a light gray sphere, with semi-transparent teal circles sized by city population. The visualization uses d3.geoNaturalEarth1 for projection and d3.geoPath to render land, interiors, and sphere outlines from TopoJSON data. City coordinates are projected and drawn as SVG circles, with radii scaled using d3.scaleSqrt applied to population values from a CSV dataset. The React component structure manages state for both world atlas and city data.

Jj-PGi

Points on a Map (cities)

A world map displays cities as semi-transparent circles sized by population, with landmasses, graticules, and interior borders rendered via d3.geoPath and geoNaturalEarth1. The projection maps latitude and longitude to SVG coordinates, while a d3.scaleSqrt converts population values to circle radii. Data comes from a CSV of world cities, and the map uses React hooks to load TopoJSON world-atlas geometry.

AAnthony Ynami

Points on Map

This example displays a world map with city points overlaid, using a Natural Earth projection. The map shows country boundaries, graticules, and a sphere outline, with city locations plotted as circles. It uses d3.geoNaturalEarth1, d3.geoPath, and d3.geoGraticule to render the geographic features, while city data is loaded from a CSV via d3.csv. The visualization is built with React, rendering SVG elements, and uses TopoJSON from the World Atlas for country polygons and interior borders.

MMark Lam

Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent dots. The visualization uses a natural Earth projection via d3.geoNaturalEarth1 and renders geographic features with d3.geoPath, including land masses and graticules. City coordinates are projected from latitude and longitude into SVG circle positions. The map loads country boundaries from World Atlas TopoJSON and city data from a Simplemaps CSV, with React managing the data-fetching hooks and rendering the SVG marks.

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